Dynamic Virtual Gateway Orchestration by User Role
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Solution Overview
Problem
Existing cloud computing solutions require manual selection of service sets based on user count, leading to inefficient resource allocation as users within an organization have varying hardware and network requirements, resulting in under-serving or over-provisioning of resources depending on the type of tasks performed.
Innovation Solution
A method and system that utilize user role-based licensing to dynamically orchestrate virtual gateways in cloud networks, determining hardware and network capabilities based on user roles and numbers, allowing for the licensing and modification of service sets to meet specific requirements.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If service sets are manually selected based on user count, then resource provisioning is simplified, but resource allocation efficiency deteriorates due to varying user roles and requirements
Solution Approach 1:
The system automatically determines hardware and network capabilities by analyzing user roles and counts, eliminating the need for manual service set selection. The virtual gateway dynamically configures service sets based on detected user attributes, enabling the system to self-adjust resource allocation without human intervention.
Solution Approach 2:
The system changes the parameter basis for resource allocation from simple user count to detailed user role attributes. By detecting and analyzing different user roles (e.g., engineer, technician, administrator) and their associated hardware/network requirements, the system dynamically adjusts service set configurations to match actual needs.
2Adaptability or versatility
If service sets are configured for maximum user capacity, then all users can be accommodated, but resource utilization deteriorates due to under-provisioning for users with lower requirements
Solution Approach 1:
The system applies different resource allocation strategies to different user roles within the same organization. Instead of uniform resource provisioning, each user role receives customized hardware and network capabilities matched to their specific task requirements, eliminating waste while maintaining adaptability.
Solution Approach 2:
The service set configuration becomes dynamic rather than static. The system continuously monitors user roles and counts, automatically adjusting resource allocation in real-time to match current needs, thereby preventing both over-provisioning and under-provisioning scenarios.
3Device complexity
If manual service set selection is used, then configuration complexity is reduced, but system responsiveness deteriorates when user roles or numbers change
Solution Approach 1:
The system implements continuous feedback loops by monitoring user roles and counts, automatically detecting changes and triggering service set reconfiguration. This closed-loop control enables rapid system adaptation without requiring complex manual reconfiguration processes.
Solution Approach 2:
The system pre-configures multiple service sets with different hardware and network capabilities corresponding to various user roles. When user attributes change, the system quickly switches to the appropriate pre-configured service set, enabling fast adaptation without complex real-time configuration decisions.
Data Source
AI summary
A system and a method for configuring resources over a network cloud are described. Attributes related to user roles i.e. categories of user roles, network cloud based services associated with each category, and a number of users associated with each category are received. Hardware capabilities and/or network capabilities corresponding to the attributes are determined from a mapping table stored in a repository. A service set capable of providing the hardware capabilities and the network capabilities is determined from the mapping table stored in the repository. The mapping table is based on previous implementations and instructions associated with one or more service sets. Resources are configured over the network cloud to implement the service set.